Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Data Analysis | 3 |
Data Collection | 3 |
Business | 2 |
Computer Software | 2 |
Educational Research | 2 |
Program Effectiveness | 2 |
Active Learning | 1 |
Artificial Intelligence | 1 |
Assignments | 1 |
Behavior | 1 |
Careers | 1 |
More ▼ |
Source
Journal of Information… | 3 |
Author
Anne L. Powell | 1 |
Asamoah, Daniel A. | 1 |
Cassandra Artman Collier | 1 |
Chang Liu | 1 |
Charles Downing | 1 |
Kalgotra, Pankush | 1 |
Ott, Mark | 1 |
Sharda, Ramesh | 1 |
Publication Type
Journal Articles | 3 |
Tests/Questionnaires | 3 |
Reports - Research | 2 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Cassandra Artman Collier; Anne L. Powell – Journal of Information Systems Education, 2024
As organizations' reliance on data increases, the prevalence of data analytics programs in universities likewise increases. However, despite this specialized education, scholars still report a gap between the knowledge and skills students graduate with and those required by industry upon beginning work as an entry-level data analyst. We draw on…
Descriptors: Data Analysis, Information Systems, Educational Research, Data Collection
Chang Liu; Charles Downing – Journal of Information Systems Education, 2024
This teaching tip describes using Microsoft Power BI Desktop in a class to analyze unstructured data from an exit survey of prior students from a Master of Science in Management Information Systems program. Results from a short survey administered to these students showed that the students, using the no-code Power BI, were able to accomplish their…
Descriptors: Graduate Students, Program Effectiveness, Information Science, Management Information Systems
Asamoah, Daniel A.; Sharda, Ramesh; Kalgotra, Pankush; Ott, Mark – Journal of Information Systems Education, 2016
Within the context of the telecom industry, this teaching case is an active learning analytics exercise to help students build hands-on expertise on how to utilize Big Data to solve a business problem. Particularly, the case utilizes an analytics method to help develop a customer retention strategy to mitigate against an increasing customer churn…
Descriptors: Case Method (Teaching Technique), Data Collection, Data Analysis, Educational Research